基于数据挖掘对颜红教授治疗抑郁发作用药经验初探

Preliminary exploration of Professor YAN Hong's drug experience in treating depressive episodes based on data mining

关键词:  抑郁发作  用药规律  数据挖掘  颜红

Key words:  depressive episode  regularity of drugs  data analysis  YAN Hong

摘要:

[目的] 初探颜红教授治疗抑郁发作患者的中医用药规律。收集2019—2020年于天津中医药大学第一附属医院心身科住院治疗确诊抑郁发作且出院后于颜红教授门诊规律就诊至少6个月的患者，通过数据筛选、规范化处理后提取中药处方相关信息，建立相关数据库。通过描述统计法、Apriori算法进行关联规则分析、聚类分析对处方进行数据挖掘。通过数据筛选其纳入的376首处方、183味中药，总结出78条关联规则与6个聚类方。颜红教授在治疗上谨守病机以疏肝理气、解郁安神为治疗大法，根据患者具体症状以辨证加减用药，思路之明确、用药之精当值得后辈学习与继承。

Abstract:

A preliminary study on Professor YAN Hong's traditional Chinese medicine rules for treating patients with depressive episodes. To collect the patients admitted to the psychosomatic department of the first affiliated hospital of Tianjin university of Chinese medicine from 2019 to 2020 who were diagnosed with depression and visited Professor YAN Hong's clinic regularly after discharge (stable visit for at least 6 months),and extract the relevant information of Chinese medicine prescription through data screening and standardized treatment to establish the relevant database. By using descriptive statistics method,apriori algorithm for association rule analysis,clustering analysis for prescription data analysis. A total of 376 prescriptions,183 traditional Chinese medicines,78 association rules and 6 clustering formulas were included through data screening. Professor YAN adheres to the principle of smoothing the liver,regulating qi,relieving depression and calming the mind,and adds or subtracts medication according to the specific symptoms of patients. The clarity of thought and the accuracy of medication are worth learning and inheriting by our later generations.